Adaptive synchronization of memristor-based BAM neural networks with mixed delays
Adaptive synchronization of memristor-based BAM neural networks with mixed delays
复制标题
具有混合延迟的基于忆阻器的 BAM 神经网络的自适应同步
DOI：
10.1016/j.amc.2017.11.037
复制
发表时间：
2018-04-01
影响因子：
4
通讯作者：
Yang, Yixian
中科院分区：
文献类型：
--
作者：
Chen, Chuan;Li, Lixiang;Yang, Yixian
研究了具有离散延迟和分布延迟(混合延迟)的记忆阻器BAM神经网络的自适应同步问题。我们设计了两种自适应反馈控制器，在这两种控制器下，所考虑的MBAMNN可以分别实现渐近同步和指数同步。即使在不完全了解系统参数的情况下，也可以使用自适应反馈控制器。此外，不需要计算代数条件和求解线性矩阵不等式来确定合适的控制增益。数值仿真验证了理论结果的有效性。(C)2017 Elsevier Inc.保留所有权利。
This paper investigates the adaptive synchronization of memristor-based BAM neural networks (MBAMNNs) with discrete delay and distributed delay (mixed delays). We design two kinds of adaptive feedback controllers, under which the considered MBAMNNs can achieve asymptotic synchronization and exponential synchronization respectively. The adaptive feedback controllers can be utilized even when there is no perfect knowledge of the system parameters. Furthermore, computing algebraic conditions and solving linear matrix inequalities are not needed to determine suitable control gains. Numerical simulations illustrate the effectiveness of the theoretical results. (C) 2017 Elsevier Inc. All rights reserved.